CN115997739A - Intelligent fishing system and method based on image recognition - Google Patents

Abstract

The invention discloses an intelligent fishing system based on image recognition, which comprises an intelligent control system (1), an automatic feeding boat (2), a net lifting system (3), a fish selection system (4), an image sensing module (5) and an alarm module (6); the intelligent control system (1) is respectively connected with the automatic feeding ship (2), the net lifting system (3), the fish selecting system (4), the image sensing module (5) and the alarm module (6) in a data communication mode. According to the invention, the image sensing module is arranged in the waterproof box, the waterproof box is arranged on the vertically arranged carrying frame, and the waterproof box can creep up and down on the carrying frame, so that the image of the water surface or the underwater image is shot, and the image of different water layers can be obtained by the intelligent control system in the process of sending, so that different fishes can be obtained, and the fishes can be better found and caught.

Description

Intelligent fishing system and method based on image recognition

Technical Field

The invention relates to the technical field of aquatic fishing, in particular to an intelligent fishing system and method based on image recognition.

Background

Various food materials including staple foods, vegetables and meats are needed for people living, so that energy and protein of people are supplemented, fish is a common meat in our daily life, and is also a relatively low-price meat, so that a large amount of fish is eaten every year, and the fish is an important source for people to acquire protein. Fish are usually cultivated in ponds or rivers or oceans, but fish live in water, and therefore, the fish need to be caught in water and then flow into our dining table. Currently, fishing is usually performed by means of trawl, trawl or trap net, ground cage and the like. These fishing methods are generally slow, and the fishing is uncontrollable, and the existing corresponding fishing methods are as follows:

patent application CN107996528A discloses an intelligent fishing method that uses the fear of fish to electric fields to schedule the behavior and position of fish by generating/eliminating electric fields at different positions. By utilizing the method, the invention provides an intelligent electric field net cage fishing device, which comprises the following components: the fish attracting channel is used for attracting target fishes and comprises an illumination light source, an underwater camera, a bait sowing pipe, a proximity sensor and a plurality of driving electrode groups; the fish trapping net cage is used for temporarily trapping the introduced fish entering the fish trapping channel, and is provided with a plurality of electrode groups and a fish outlet; the harvesting net cage is used for harvesting the fish shoals which are captured and comprises a positioning frame and a fence gate with a fish inlet capable of opening/closing the fish inlet; the hoisting device is used for hoisting the harvesting net cage out of the water surface; the service box provides support services such as bait and electric field control for the underwater device and comprises a feed pipe, a multi-core signal and control cable, a feed pump, a bait tank, an intelligent controller, an image recognition unit and the like. According to the invention, the fishing of preset fish seeds according to the needs is realized, and non-target fish is refused to enter; a high-efficiency device which runs fully automatically in 365 days a year.

Patent application CN105010270a discloses a fish cage for trapping Taihu lake white fish on the aquaculture water surface, the fish cage is surrounded by four sides of a net sheet wall, three sides of the fish cage are provided with a fish feeding box fish feeding door and a fish taking box fish feeding door, the fish feeding box fish feeding door and the fish taking box fish feeding door are respectively provided with a fish feeding box sliding door and a fish taking box sliding door, the middle parts of two push-and-pull ends of the fish feeding box sliding door and the fish taking box are respectively connected with a fish feeding box sliding door rope and a fish taking box sliding door rope, the fish feeding box sliding door and the fish taking box sliding door can be opened and closed back and forth under the action of the fish feeding box sliding door rope and the fish taking box sliding door rope, the net sheet walls on two sides of the fish feeding box are respectively connected with the fish taking box, the fish taking box is a narrow and long box body, a fish pushing plate is arranged in the fish taking box, a push rod is connected above the fish pushing plate, the fish pushing plate can move back and forth in the fish taking box under the action of the rod, and the net sheet pulling door and the fish taking box sliding door rope are connected with each other in a fixed mode, and the net sheet wall is fixedly connected with each other.

Patent application CN103444642a discloses a novel far wave breeding trapping fish net cage, which is characterized in that a sliding door is arranged in the middle of a fish collecting box body, the left side and the right side of the sliding door are respectively connected with a sliding door rope, the rear end of the fish collecting box body is connected with a fish inlet, the top end of the fish inlet is provided with a waterproof observation mirror, a video lens is arranged in an inner cavity of the waterproof observation mirror, a fluorescent lamp is arranged on the video lens, a far wave sounder is arranged on the fluorescent lamp, a transmitter is connected on the far wave sounder, a transmission line at the lower end of the transmitter is connected with the far wave sounder and the video lens, the upper end of the transmission line is connected with a signal line, and the transmission line is connected with a computer.

Patent application CN110199961a discloses a multifunctional intelligent fishing vessel of independently keeping away barrier seeking trace discernment, the fishing vessel includes the hull, and the hull includes: the device comprises a fishing device, a driving system, a positioning communication system, an image processing system, an automatic water obstacle avoidance system, an automatic water tracking system and a control system, wherein the control system receives signals and data sent by the fishing device, the positioning communication system, the automatic water obstacle avoidance system, the automatic water tracking system and the image processing system for processing and sends instructions to the fishing device and the driving system for controlling the operation of the fishing device. The system can automatically avoid barriers and seek to reach the position with the best water quality, identify fishes at the position with the best fish quality, and automatically catch fishes, so that the food safety is ensured; the system does not need to be controlled manually, and the fishing boat can work in a water area by itself only by opening one key; the fishing range is large, the mobility is large, the fishing device is light and portable, time and effort are not wasted, and a large amount of fishes can be captured.

It can be seen that in the fishing technology of the prior art, the following technical problems also exist:

1. in the traditional fish trapping, the technology of fishing by combining an image recognition system with a fishing net usually exists, but the image recognition system is only used for finding fish so as to timely collect the net and the like, but the image definition degree in water is usually dependent on water quality, so that if the definition of the water quality is not good enough, the fish cannot be found easily if a camera is fixed, and the fish is not captured conveniently;

2. when fish is caught, bait is sometimes thrown so as to induce more fish to enter a fishing net, but fish is unevenly distributed and has uncertainty, and the traditional fishing bait is used for directly feeding quantitative bait no matter how much fish is in the current fishing area, so if the quantity of the fish is too small, if the quantity of the bait is too small, the bait is not completely eaten, and further the nest-formed bait is deteriorated in water for too long, water quality is influenced, the bait is wasted, and the fish is easy to cause illness; the bait put in the fish bait is too little, and the fish is more, so that the fish can easily eat the bait and leave the fish bait quickly, and the technical effect of inducing the fish cannot be achieved.

3. In the fishing technology of the prior art, baits are usually delivered for attracting fish, but the preference of the baits of different fishes is not the same, and the preference of the baits of the fishes is not considered in the traditional baits feeding, so that the trapped fishes are different easily, or the fishes are not trapped properly or the corresponding baits are thrown.

4. In the prior art, as the life habits of the fishes are different, for example, different fishes live in the water layer are different, but the prior art does not consider that different fishes are provided with different lifting system heights and different cameras so as to find and capture suitable fishes.

In view of the above technical problems, there is currently no effective technical solution to solve the above technical problems.

Disclosure of Invention

Aiming at the technical problems, the invention aims to provide an intelligent fishing system and method based on image recognition so as to solve the problems in the background technology.

In order to achieve the above purpose, the present invention provides the following technical solutions:

an intelligent fishing system based on image recognition comprises an intelligent control system, an automatic feeding boat, a net lifting system, a guiding screening system, an image sensing module and an alarm module; the intelligent control system is respectively connected with the automatic feeding boat, the net lifting system, the guiding screening system, the image sensing module and the alarm module in a data communication manner;

the automatic feeding ship is a self-propelled remote control unmanned ship, a fish-attracting bait cabin, a positioning device and a communication control system are arranged on the automatic feeding ship, and the communication control system is in data communication connection with the intelligent control system, so that the sailing of the automatic feeding ship and the feeding of fish-attracting bait are controlled; the positioning device is used for acquiring the position of the automatic feeding ship;

the image sensing module is arranged in the waterproof box, one side of the waterproof box is a transparent glass plate, so that the image sensing module arranged in the waterproof box can acquire images outside the waterproof box through the glass plate, the waterproof box is arranged on a vertically arranged carrying frame, the carrying frame is partially arranged above the water surface, the other part of the carrying frame is arranged below the water surface, the waterproof box can creep up and down on the carrying frame, images on the water surface or underwater images are shot, and the intelligent control system is used for transmitting the images;

the intelligent control system analyzes the quantity of the fishes based on the acquired images, increases and decreases the bait feeding quantity based on the quantity of the fishes, controls the automatic feeding boat to feed a small quantity of the baits when the quantity of the fishes is less than a certain quantity, and feeds more baits after the quantity of the fishes exceeds a certain quantity so as to attract the fishes to enter the net lifting system;

when the number of the fishes in the net lifting system reaches a certain number and the number of the fishes is not increased any more, the intelligent control system controls the net lifting system to ascend so as to catch the fishes, and alarms are given out through the alarm system so as to inform timely collection and transfer of the caught fishes;

the fish selection system is used for screening the fish entering the net lifting system, and when the fish which does not belong to the fish needing to be captured is captured in the net lifting system, the fish is placed back into the water area through the fish selection system.

Preferably, the carrying frame is arranged on the automatic feeding boat, and the image sensing module on the carrying frame acquires an image along with the navigation of the automatic feeding boat in a certain area and sends the image to the intelligent control system in a wireless communication mode;

the intelligent control system judges whether fishes exist or not based on the image, when the fishes exist, the automatic feeding boat is controlled to continuously feed a small amount, and meanwhile, the automatic feeding boat is controlled to sail to the net lifting system, so that a path from the current fish finding position to the bait of the net lifting system is formed, and the fishes are attracted to swim to the upper side of the net lifting system and gather above the net lifting system.

Preferably, the net lifting system comprises a net lifting system, a pulley, a fixed rod, a control rod, a total control pulley and a control rope; the fixed rods comprise 4 fixed rods which are respectively positioned at 4 angular positions of the lifting net and are fixed at the water bottom, so that the lifting net is opened, and the top end of each fixed rod is provided with a pulley; four corners of the lifting net are formed into a group by 2 adjacent corners, 2 groups of corners are formed, and each group of corners is connected with a control rope.

Preferably, the carrying frame is further arranged on the fixed rod or the control rod, so that the image sensing module moves up and down on the carrying frame, images of the water surface and the water surface are acquired, and the images are sent to the intelligent control system in a wireless communication mode;

the intelligent control system judges whether the fishes exist or not based on the images, when the fishes exist and are living near the water surface, the intelligent control system controls bait throwing on the floating water surface in the automatic throwing ship, and when the fishes exist and are deep living fishes, the intelligent control system controls the automatic throwing ship to throw the submerged baits, so that different fishes can be attracted by the baits and enter the net lifting system.

Preferably, the intelligent control system judges whether the fishes and the types of the fishes exist or not based on the image, and positions the fishes based on the fixed rod or the control rod, so that the automatic feeding boat is controlled to sail to the corresponding position to feed baits, and the automatic feeding boat is controlled to sail to the net lifting system while throwing the baits so as to attract the fishes to the net lifting system.

Preferably, the automatic feeding boat comprises a plurality of feeding cabins, each feeding cabin of the automatic feeding boat is filled with a bait, each feeding cabin is provided with a switch, and the switches are connected with the intelligent control system, so that the opening and closing of each feeding cabin can be independently controlled to realize independent feeding;

the intelligent control system analyzes the type of the fish, controls the opening of a feeding cabin corresponding to the automatic feeding ship according to the type of the fish, and feeds the corresponding bait of the fish so as to induce the fish.

Preferably, the intelligent control system receives the type and the quantity of the required fish to be caught, performs data processing, thereby obtaining the life habit of the fish, namely the fish belonging to an upper water layer or a lower water layer, controlling the net lifting of the net lifting system to be at a proper depth, and simultaneously controlling the corresponding feeding cabin of the automatic feeding boat to be opened for feeding the bait so as to play a role in selectively feeding the bait to attract the corresponding fish to enter the net lifting system.

Preferably, the intelligent control system analyzes the type of the fish based on the acquired image, and when the current fish is not the fish to be trapped, the intelligent control system does not control the net lifting system to rise, so that the fish is not induced to the net lifting system.

In another aspect, the application further provides a fishing method of the intelligent fishing system based on image recognition, which comprises the intelligent fishing system based on image recognition, wherein the specific fishing method comprises the following steps:

step S1, erecting a corresponding net lifting system in a water area suitable for arranging an intelligent fishing system, and filling corresponding baits in the automatic feeding boat;

s2, inputting the fish to be captured and the quantity of the fish through the intelligent control system, and calculating living characteristics of the fish by the intelligent control system so as to control the net lifting of the net lifting system to be lowered to a proper depth;

step S3, the image sensing module is arranged in the waterproof box, one side of the waterproof box is a transparent glass plate, so that the image pickup sensing module arranged in the waterproof box can acquire images outside the waterproof box through the glass plate, the waterproof box is arranged on a vertically arranged carrying frame, the carrying frame is partially arranged above the water surface, the other part of the carrying frame is arranged below the water surface, and meanwhile, the waterproof box can creep on the carrying frame to a proper depth, images can be shot, and the intelligent control system is used for sending the images;

s4, analyzing the number of fishes by the intelligent control system based on the acquired images, increasing or decreasing the bait feeding number based on the number of fishes, controlling the automatic feeding boat to feed a small amount of baits when the number of fishes is less than a certain number, and feeding more baits after the number of fishes exceeds a certain number so as to attract the fishes to enter the net lifting system;

when the number of the fishes in the net lifting system reaches a certain number and the number is not increased any more or the number of the fishes to be captured is reached, the intelligent control system controls the net lifting system to ascend so as to capture the fishes, and alarms are carried out through the alarm system so as to inform timely collection and transfer of the fishes to be captured;

step S5, when the carrying frame is arranged on the automatic feeding boat, the image sensing module on the carrying frame acquires images along with the navigation of the automatic feeding boat in a certain area and sends the images to the intelligent control system in a wireless communication mode;

the intelligent control system judges whether fishes exist or not based on the image, when the fishes exist, the automatic feeding boat is controlled to continuously feed a small amount, and meanwhile, the automatic feeding boat is controlled to sail to the net lifting system, so that a path from the current fish finding position to the bait of the net lifting system is formed, and the fishes are attracted to swim to the upper side of the net lifting system and gather above the net lifting system.

Preferably, when the captured fish is not limited, the image sensing module moves up and down on the carrying frame, acquires images of the water surface and the water, and sends the images to the intelligent control system in a wireless communication mode;

the intelligent control system judges whether the fishes exist or not based on the images, when the fishes exist and are living near the water surface, the intelligent control system controls bait throwing on the floating water surface in the automatic throwing ship, and when the fishes exist and are deep living fishes, the intelligent control system controls the automatic throwing ship to throw the submerged baits, so that different fishes can be attracted by the baits and enter the net lifting system.

Compared with the prior art, the invention has the beneficial effects that:

1. in this application, through setting up image sensing module in waterproof box, the image outside the waterproof box can be obtained through the glass board to the image sensing module that makes a video recording that sets up in waterproof box, waterproof box is located on the vertical carrying frame that sets up, carrying frame part sets up above the surface of water, and in addition part sets up below the surface of water, makes waterproof box can creep about carrying the frame to shoot the image or the image under water of surface of water, and in the transmission intelligent control system, thereby can obtain the image of different water layers, and then obtain different fish, make better discovery fish and catch the fish.

2. In the application, the carrying frame is arranged on the automatic feeding ship, and along with the navigation of the automatic feeding ship in a certain area, the image sensing module on the carrying frame acquires an image and sends the image to the intelligent control system in a wireless communication mode; thereby obtaining the fishes which are recorded farther and are not limited to the fishes near the net lifting system; meanwhile, when fish exists, the automatic feeding boat is controlled to continuously feed a small amount, and meanwhile, the automatic feeding boat is controlled to sail towards the net lifting system, so that a path from the current fish finding position to the bait of the net lifting system is formed, the fish is attracted to swim to the upper part of the net lifting system and gathered at the net lifting system, and the fish at a farther position is captured, so that fishing is more efficient.

3. According to the method and the device, when the fishes are trapped, the discovered fishes are interpreted based on the images, so that corresponding baits are fed, the fishes can be induced to eat as soon as possible, the fishes are more easily trapped, and meanwhile, the baits which are disliked by the fed fishes are prevented from being wasted.

4. According to the fish lifting net system, the fixing rod or the control rod is used for positioning, the fish is judged, so that the automatic feeding boat is controlled to sail to the corresponding position for feeding baits, and the baits are fed while sailing to the net lifting system so as to attract the fish to the net lifting system.

Drawings

FIG. 1 is a schematic diagram of the overall construction of the present invention;

fig. 2 is a schematic structural view of the automatic feeding boat of the present invention.

In the figure: 1. an intelligent control system; 2. an automatic feeding ship; 3. a net lifting system; 4. a fish selection system; 5. an image sensing module; 6. an alarm module; 7. a bait cabin; 8. a positioning device; 9. a communication control system; 10. a waterproof box; 11. and carrying a frame.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

First embodiment:

referring to fig. 1-2, the present invention provides a technical solution: an intelligent fishing system based on image recognition comprises an intelligent control system 1, an automatic feeding boat 2, a net lifting system 3, a fish selection system 4, an image sensing module 5 and an alarm module 6; the intelligent control system 1 is respectively connected with the automatic feeding boat 2, the net lifting system 3, the guiding screening system 4, the image sensing module 5 and the alarm module 6 in a data communication manner;

the automatic feeding boat 2 is a self-propelled remote control unmanned boat, a fish-attracting bait cabin 7, a positioning device 8 and a communication control system 9 are arranged on the automatic feeding boat, the communication control system 9 is in data communication connection with the intelligent control system 1, so that sailing of the automatic feeding boat 2 and feeding of fish-attracting bait are controlled, and the positioning device 8 is used for acquiring the position of the automatic feeding boat 2;

the image sensing module 5 is arranged in the waterproof box 10, one side of the waterproof box 10 is a transparent glass plate, so that the image pickup sensing module arranged in the waterproof box can acquire images outside the waterproof box through the glass plate, the waterproof box is arranged on a vertically arranged carrying frame 11, the carrying frame is partially arranged above the water surface, the other part of the carrying frame is arranged below the water surface, the waterproof box can creep up and down on the carrying frame 11, images of the water surface or underwater images are shot, and the intelligent control system 1 is used for transmitting the images;

the intelligent control system 1 analyzes the number of fishes based on the acquired images, increases or decreases the bait feeding number based on the number of fishes, controls the automatic feeding boat 2 to feed a small amount of baits when the number of fishes is less than a certain number, and feeds more baits after the number of fishes exceeds a certain number so as to attract the fishes to enter the net lifting system;

when the number of the fishes in the net lifting system 3 reaches a certain number and the number is not increased any more, the intelligent control system 1 controls the net lifting system 3 to ascend so as to catch the fishes, and alarms through the alarm system 6 so as to inform timely collection and transfer of the caught fishes.

Preferably, the carrying frame is arranged on the automatic feeding ship 2, and the image sensing module 5 on the carrying frame acquires images along with the navigation of the automatic feeding ship 2 in a certain area and sends the images to the intelligent control system 1 in a wireless communication mode;

the intelligent control system 1 judges whether fishes exist or not based on the image, when the fishes exist, the automatic feeding boat 2 is controlled to continuously feed a small amount, and the automatic feeding boat 2 is controlled to sail to the net lifting system 3, so that a path from the current fish finding position to the bait of the net lifting system 3 is formed, and the fishes are attracted to swim to the upper side of the net lifting system 1 and gather above the net lifting system 1;

the fish selection system 4 is used for screening the fish entering the net lifting system 3, and when the fish which does not belong to the fish needing to be captured is captured in the net lifting system 3, the fish is placed back into the water area through the fish selection system 4.

Preferably, the net lifting system comprises a net lifting system, a pulley, a fixed rod, a control rod, a total control pulley and a control rope; the fixed rods comprise 4 fixed rods which are respectively positioned at 4 angular positions of the lifting net and are fixed at the water bottom, so that the lifting net is opened, and the top end of each fixed rod is provided with a pulley; four corners of the lifting net are formed into a group by 2 adjacent corners, 2 groups of corners are formed, and each group of corners is connected with a control rope.

Preferably, the carrying frame is further arranged on the fixed rod or the control rod, so that the image sensing module 5 moves up and down on the carrying frame, acquires images of the water surface and the water surface, and sends the images to the intelligent control system 1 in a wireless communication mode;

the intelligent control system 1 judges whether the fishes exist or not based on the images, when the fishes exist and are living near the water surface, the automatic feeding boat 2 is controlled to throw baits on the floating water surface, and when the fishes exist and are living fishes in deep water, the automatic feeding boat 2 is controlled to throw baits which sink, so that different fishes can be attracted by the baits and enter the net lifting system 3.

Preferably, the intelligent control system 1 determines whether there are fishes and types of fishes based on the image, and determines the position of the fishes based on the fixing rod or the control rod for positioning, thereby controlling the automatic feeding boat 2 to navigate to a corresponding position for feeding baits, however, navigate to the net lifting system 3 while feeding baits so as to attract the fishes to the net lifting system 3.

Preferably, the automatic feeding boat 2 includes a plurality of feeding tanks, each feeding tank of the automatic feeding boat 2 is filled with a bait, each feeding tank is provided with a switch, and the switch is connected with the intelligent control system 1, so that the opening and closing of each feeding tank can be independently controlled to realize independent feeding;

the image sensing module 5 acquires an image and sends the image to the intelligent control system 1, the intelligent control system 1 analyzes the type of the fish, and controls a feeding cabin corresponding to the automatic feeding boat 2 to be opened according to the type of the fish, and feeds the corresponding fish baits so as to induce the fish.

Preferably, the intelligent control system 1 receives the type and the number of the fishes to be caught, and performs data processing, so as to obtain the life habit of the fishes, namely, the fishes belonging to the upper water layer or the lower water layer, and control the net lifting of the net lifting system 3 to be at a proper depth, and simultaneously control the corresponding feeding cabin of the automatic feeding boat 2 to be opened for feeding the baits, so that the selective feeding baits attract the corresponding fishes to enter the net lifting system 3.

Preferably, the intelligent control system 1 analyzes the type of the fish based on the acquired image, and when the current fish is not the fish to be trapped, the fish is not controlled to ascend the net lifting system 3, and the fish is not induced to the net lifting system 3.

Specific embodiment II:

a fishing method of an intelligent fishing system based on image recognition comprises the following steps of:

step S1, erecting a corresponding net lifting system 3 in a water area suitable for arranging an intelligent fishing system, and filling corresponding baits in the automatic feeding boat 2;

step S2, inputting the fishes and the quantity of the fishes to be captured through the intelligent control system 1, wherein the intelligent control system 1 calculates the living characteristics of the fishes so as to control the net lifting of the net lifting system 3 to be lowered to a proper depth;

step S3, the image sensing module 5 is disposed in a waterproof box, and a transparent glass plate is disposed on one side of the waterproof box, so that the image capturing sensing module disposed in the waterproof box can acquire an image outside the waterproof box through the glass plate, the waterproof box is disposed on a vertically disposed carrying frame, a portion of the carrying frame is disposed above a water surface, and another portion of the carrying frame is disposed below the water surface, and meanwhile, the waterproof box can crawl on the carrying frame to a suitable depth, thereby capturing an image, and the intelligent control system 1 is in the middle of transmission;

s4, analyzing the number of fishes by the intelligent control system 1 based on the acquired images, increasing or decreasing the bait feeding number based on the number of fishes, controlling the automatic feeding boat 2 to feed a small amount of baits when the number of fishes is less than a certain number, and feeding more baits after the number of fishes exceeds a certain number so as to attract the fishes to enter the net lifting system;

when the number of the fishes in the net lifting system 3 reaches a certain number and the number is not increased any more or the inputted number of the fishes to be captured is reached, the intelligent control system 1 controls the net lifting system 3 to ascend so as to catch the fishes, and alarms through the alarm system 6 so as to inform timely collection and transfer of the fishes to be captured;

step S5, when the carrying frame is disposed on the automatic feeding boat 2, the image sensing module 5 on the carrying frame acquires an image along with the navigation of the automatic feeding boat 2 in a certain area and sends the image to the intelligent control system 1 in a wireless communication manner;

the intelligent control system 1 judges whether fishes exist or not based on the image, when the fishes exist, the automatic feeding boat 2 is controlled to continuously feed a small amount, and meanwhile, the automatic feeding boat 2 is controlled to sail to the net lifting system 3, so that a path from the current fish finding position to the bait of the net lifting system 3 is formed, and the fishes are attracted to swim to the upper side of the net lifting system 1 and gather above the net lifting system 1.

Preferably, when the captured fish is not limited, the image sensing module 5 moves up and down on the carrying frame, acquires images of the water surface and the water, and transmits the images to the intelligent control system 1 by wireless communication;

the intelligent control system 1 judges whether the fishes exist or not based on the images, when the fishes exist and are living near the water surface, the automatic feeding boat 2 is controlled to throw baits on the floating water surface, and when the fishes exist and are living fishes in deep water, the automatic feeding boat 2 is controlled to throw baits which sink, so that different fishes can be attracted by the baits and enter the net lifting system 3.

It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. An intelligent fishing system based on image recognition comprises an intelligent control system (1), an automatic feeding boat (2), a net lifting system (3), a fish selection system (4), an image sensing module (5) and an alarm module (6); the intelligent control system (1) is respectively connected with the automatic feeding ship (2), the net lifting system (3), the fish selecting system (4), the image sensing module (5) and the alarm module (6) in a data communication manner;

the method is characterized in that: the automatic feeding ship (2) is a self-propelled remote control unmanned ship, a fish-attracting bait cabin (7), a positioning device (8) and a communication control system (9) are arranged on the automatic feeding ship, and the communication control system (9) is in data communication connection with the intelligent control system (1), so that sailing of the automatic feeding ship (2) and feeding of fish-attracting bait are controlled; the positioning device (8) is used for acquiring the position of the automatic feeding ship (2);

the image sensing module (5) is arranged in the waterproof box (10), one side of the waterproof box (10) is a transparent glass plate, so that the image sensing module arranged in the waterproof box can acquire images outside the waterproof box through the glass plate, the waterproof box is arranged on a vertically arranged carrying frame (11), the carrying frame (11) is partially arranged above the water surface, and the other part of the carrying frame is arranged below the water surface, so that the waterproof box can creep up and down on the carrying frame, images of the water surface or underwater images can be shot, and the intelligent control system (1) is used for transmitting the images;

the intelligent control system (1) analyzes the number of fishes based on the acquired images, increases and decreases the bait feeding number based on the number of fishes, controls the automatic feeding boat (2) to feed a small amount of baits when the number of fishes is less than a certain number, and feeds more baits after the number of fishes exceeds a certain number so as to attract the fishes to enter the net lifting system;

when the number of the fishes in the net lifting system (3) reaches a certain number and the number is not increased any more, the intelligent control system (1) controls the net lifting system (3) to ascend so as to catch the fishes, and alarms through the alarm system (6) so as to inform timely collection and transfer of the caught fishes;

the fish selection system (4) is used for screening the fish entering the net lifting system (3), and when the fish which does not belong to the fish needing to be captured is captured in the net lifting system (3), the fish is placed back into the water area through the fish selection system (4).

2. An intelligent fishing system based on image recognition as defined in claim 1, wherein: the carrying frame is arranged on the automatic feeding ship (2), and along with the navigation of the automatic feeding ship (2) in a certain area, the image sensing module (5) on the carrying frame acquires images and sends the images to the intelligent control system (1) in a wireless communication mode;

the intelligent control system (1) judges whether fishes exist or not based on the images, when the fishes exist, the automatic feeding boat (2) is controlled to continuously feed a small amount, and meanwhile, the automatic feeding boat (2) is controlled to sail towards the net lifting system (3), so that a path from the current fish finding position to the bait of the net lifting system (3) is formed, and the fishes are attracted to swim to the upper side of the net lifting system (1) and gather above the net lifting system (1).

3. An intelligent fishing system based on image recognition according to claim 1 or 2, characterized in that: the net lifting system (3) comprises a net lifting device, a pulley, a fixed rod, a control rod, a total control pulley and a control rope; the fixed rods comprise 4 fixed rods which are respectively positioned at 4 angular positions of the lifting net and are fixed at the water bottom, so that the lifting net is opened, and the top end of each fixed rod is provided with a pulley; four corners of the lifting net are formed into a group by 2 adjacent corners, 2 groups of corners are formed, and each group of corners is connected with a control rope.

4. An intelligent fishing system based on image recognition according to claim 3, wherein:

the carrying frame is further arranged on the fixed rod or the control rod, so that the image sensing module (5) moves up and down on the carrying frame, images of the water surface and the water surface are acquired, and the images are sent to the intelligent control system (1) in a wireless communication mode;

the intelligent control system (1) judges whether fishes and types of fishes exist or not based on the images, when the fishes exist and are the fishes living near the water surface, the automatic feeding boat (2) is controlled to throw baits floating on the water surface, and when the fishes exist and are the fishes living in deep water, the automatic feeding boat (2) is controlled to throw baits sinking, so that different fishes can be attracted by the baits and enter the net lifting system (3).

5. An intelligent fishing system based on image recognition as defined in claim 4, wherein: the intelligent control system (1) judges whether fishes and the types of the fishes exist or not based on the image and positions the fishes based on the fixed rod or the control rod, so that the automatic feeding boat (2) is controlled to sail to the corresponding position to feed baits, and the fishes are guided to the net lifting system (3) while being thrown, so that the fishes are attracted to the net lifting system (3).

6. An intelligent image recognition based fishing system according to claim 2, 4 or 5, wherein: the automatic feeding ship (2) comprises a plurality of feeding cabins, the feeding cabins of each automatic feeding ship (2) are filled with a bait, each feeding cabin is provided with a switch, and the switches are connected with the intelligent control system (1), so that the opening and closing of each feeding cabin can be independently controlled to realize independent feeding;

the intelligent control system (1) analyzes the type of the fish, controls the opening of a feeding cabin corresponding to the automatic feeding ship (2) according to the type of the fish, and feeds the corresponding fish baits so as to induce the fish.

7. An intelligent fishing system based on image recognition as defined in claim 6, wherein: the intelligent control system (1) receives the type and the quantity of the required fish to be caught and performs data processing, so that the life habit of the fish is acquired, namely the fish belonging to an upper water layer or a lower water layer, the net lifting of the net lifting system (3) is controlled to be at a proper depth, and meanwhile, the corresponding feeding cabin of the automatic feeding boat (2) is controlled to be opened to feed the bait, so that the selective feeding bait is used for attracting the corresponding fish to enter the net lifting system (3).

8. An intelligent fishing system based on image recognition as defined in claim 6, wherein: the intelligent control system (1) analyzes the type of the fish based on the acquired image, and when the current fish is not the fish needing to be trapped, the fish lifting system (3) is not controlled to ascend, and then the fish is not induced to the fish lifting system (3).

9. An intelligent fishing system fishing method based on image recognition, comprising the intelligent fishing system based on image recognition according to any one of claims 1 to 8, wherein the specific fishing method comprises the following steps:

step S1, erecting a corresponding net lifting system (3) in a water area suitable for arranging an intelligent fishing system, and filling corresponding baits in the automatic feeding ship (2);

s2, inputting the required fish and the quantity of the fish to be captured through the intelligent control system (1), wherein the intelligent control system (1) calculates the living characteristics of the fish so as to control the net lifting of the net lifting system (3) to be lowered to a proper depth;

step S3, the image sensing module (5) is arranged in a waterproof box, one side of the waterproof box is a transparent glass plate, so that the image pickup sensing module arranged in the waterproof box can acquire images outside the waterproof box through the glass plate, the waterproof box is arranged on a vertically arranged carrying frame, the carrying frame is partially arranged above the water surface, and the other part of the carrying frame is arranged below the water surface, meanwhile, the waterproof box can creep on the carrying frame to a proper depth, images are shot, and the intelligent control system (1) is used for sending;

s4, analyzing the number of fishes by the intelligent control system (1) based on the acquired images, increasing or decreasing the bait feeding number based on the number of fishes, controlling the automatic feeding boat (2) to feed a small amount of baits when the number of fishes is less than a certain number, and feeding more baits after the number of fishes exceeds a certain number so as to attract the fishes to enter the net lifting system;

when the number of the fishes in the net lifting system (3) reaches a certain number and the number is not increased any more or the inputted number of the fishes to be captured is reached, the intelligent control system (1) controls the net lifting system (3) to ascend so as to catch the fishes, and alarms are carried out through the alarm system (6) so as to inform timely collection and transfer of the fishes to be captured;

step S5, when the carrying frame is arranged on the automatic feeding ship (2), the image sensing module (5) on the carrying frame acquires images along with the navigation of the automatic feeding ship (2) in a certain area and sends the images to the intelligent control system (1) in a wireless communication mode;

the intelligent control system (1) judges whether fishes exist or not based on the images, when the fishes exist, the automatic feeding boat (2) is controlled to continuously feed a small amount, and meanwhile, the automatic feeding boat (2) is controlled to sail towards the net lifting system (3), so that a path from the current fish finding position to the bait of the net lifting system (3) is formed, and the fishes are attracted to swim to the upper side of the net lifting system (1) and gather above the net lifting system (1).

10. The method of capturing fish in an intelligent fishing system based on image recognition of claim 9, wherein: when the captured fish is not limited, the image sensing module (5) moves up and down on the carrying frame, acquires images of the water surface and the water, and sends the images to the intelligent control system (1) in a wireless communication mode;

the intelligent control system (1) judges whether fishes and types of fishes exist or not based on the images, when the fishes exist and are the fishes living near the water surface, the automatic feeding boat (2) is controlled to throw baits floating on the water surface, and when the fishes exist and are the fishes living in deep water, the automatic feeding boat (2) is controlled to throw baits sinking, so that different fishes can be attracted by the baits and enter the net lifting system (3).

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